Explore Before You Model
Run a pre-model EDA pass that checks shape, missingness, outliers, relationships, and leakage risks.
EDA is the model safety pass. Shape Check distributions before averages. Skew, heavy tails, and impossible values tell you whether standard summaries will mislead. Missingness Missing values are not always blank noise. They can encode process failure, segment differences, or future information that should not be available. Outliers and relationships Outliers can be errors, rare valid cases, or business-critical extremes. Relationships can reveal useful signal, duplicate variables, or leakage. Assumptions Do not let the model discover that your data collection process is broken. EDA tests whether the dataset can support the modeling question.
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